ernestcr
Mobile: (+51) 991744003, Training/Classes: ECR@gwu.edu - Consultorías/Asesorías: Director@EDCRconsulting.com
George Washington University/HarvardUnited States/Switzerland/Peru/Argentina
Pinned Repositories
asteroids
Simple Asteroids clone written in JavaScript. Play here: http://bencrowder.github.io/asteroids/
azure-docs
Open source documentation of Microsoft Azure
Banca-Qulqi-Web
Página web de Banca Qulqi
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
ECR-High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
ECR-LSTM-Neural-Network-for-Time-Series-Prediction
LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.
ECR-Pattern-Recognition-for-Forex-Trading
Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).
ECR-Tensorflow-for-Stock-Prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Predicting-Stock-Prices-with-Linear-Regression-ErnestoCR
SistemaDeAlertaSismica
Los movimientos telúricos suelen ir a un máximo de 10km/h , por lo que es posible mandar un mensaje de alerta temprana a los lugares medianamente alejados del epicentro decenas de segundos antes de que suceda un sismo. El sistema consiste en acelerómetros que son capaces de reportar sismos y enviar señales para que las sirenas empiezan a sonar para empezar la evacuación de edificios.
ernestcr's Repositories
ernestcr/How_to_Build_a_healthcare_startup
This is the code for "How to Build a Healthcare Startup" by Siraj Raval on Youtube
ernestcr/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
ernestcr/UCI-Math10
This is the repository for Math 10 Intro to Programming for DataSci at UCI.
ernestcr/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ernestcr/How_to_make_a_chatbot
This is the code for "How to Make a Chatbot - Intro to Deep Learning #12' by Siraj Raval on YouTube
ernestcr/fsdl-text-recognizer-project
ernestcr/meetups-archivos
Ppts, códigos de las conferencias y videollamadas. Data Science Research Perú, es una iniciativa desarrollada con el objetivo de fomentar Data Science & Inteligencia Artificial en las universidades, empresas y fortalecer la cooperación a nivel nacional e internacional.
ernestcr/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
ernestcr/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
ernestcr/AI_in_Finance
This is the code for "AI in Finance" By Siraj Raval on Youtube
ernestcr/Watch-Me-Build-an-Education-Startup
This is the code for "Watch Me Build an Education Startup" by Siraj Raval on Youtube
ernestcr/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ernestcr/awesome-courses
:books: List of awesome university courses for learning Computer Science!
ernestcr/Watch-Me-Build-a-Trading-Bot
This is the code for "Watch Me Build a Trading Bot" by Siraj Raval on Youtube
ernestcr/House-Prices-Regression-Techniques
ernestcr/PracticalMachineLearningClass
ernestcr/machine-learning
Content for Udacity's Machine Learning curriculum
ernestcr/data-science-masters
Self-study plan to achieve mastery in data science
ernestcr/Watch_Me_Build_a_Marketing_Startup
Subscribe to Siraj Raval on Youtube
ernestcr/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
ernestcr/fsdl-text-recognizer
Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
ernestcr/Watch-Me-Build-a-Finance-Startup
This is the code for "Watch Me Build a Finance Startup" by Siraj Raval on Youtube
ernestcr/stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
ernestcr/Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
ernestcr/pyfolio
Portfolio and risk analytics in Python
ernestcr/Build-an-AI-Startup-with-PyTorch
This is the code for 'Build an AI Startup with Pytorch" by Siraj Raval
ernestcr/AI_Startup_Prototype
This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube
ernestcr/alphalens
Performance analysis of predictive (alpha) stock factors
ernestcr/Data-Science-Tutorials
Data Science Tutorials
ernestcr/MachineLearningStocks
Using python and scikit-learn to make stock predictions